Ferroelectric Optoelectronic Memory Based on p-GaN/ZnGa<sub>2</sub>O<sub>4</sub>/BaTiO<sub>3</sub>/n-ITO Heterojunction with Integrated Sensing and Logic Operations

Ferroelectric optoelectronic memories, capable of integrating sensing, computing, and storage functionalities, hold significant potential in the fields of artificial intelligence and the Internet of Things. In this study, a nonvolatile p-GaN/ZnGa<sub>2</sub>O<sub>4</sub>/BaTiO<sub>3</sub>/n-ITO ferroelectric optoelectronic memory is demonstrated. By combining with wide-bandgap semiconductors ZnGa<sub>2</sub>O<sub>4</sub> and GaN, known for their excellent optoelectronic properties, the device exhibits superior self-powered ultraviolet photodetection performance. At 0 V bias, the device achieves a peak responsivity of 7 mA/W with a fast response speed (rise time: 6 ms and fall time: 12 ms). Furthermore, by adjusting the polarization direction of the BaTiO<sub>3</sub> thin film, the optoelectronic performance of the device can be modulated to achieve memory functionality. The photocurrent of the device in the up-polarized state remains stable for over 5 months, indicating excellent long-term storage characteristics. Based on these properties, a 5 × 5 ferroelectric optoelectronic memory array capable of imaging, storing, and reading out has been demonstrated. Additionally, the device can function as "AND" and "OR" logic gates depending on its initial polarization state and input signals. The results provide an avenue for the application of ferroelectric optoelectronic memory in integrated sensing, memory, and computing systems.

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Publication Details

Journal
ACS Applied Materials & Interfaces
Published
2025-02-05
DOI
https://doi.org/10.1021/acsami.4c19505
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
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Ferroelectric Optoelectronic Memory Based on p-GaN/ZnGa2O4/BaTiO3/n-ITO Heterojunction with Integrated Sensing and Logic Operations

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ACS Applied Materials & Interfaces
Advanced Memory and Neural Computing
article

Ferroelectric Optoelectronic Memory Based on p-GaN/ZnGa2O4/BaTiO3/n-ITO Heterojunction with Integrated Sensing and Logic Operations

Dongyang Han, Wushuang Han, Yongxue Zhu, Lei Liu, Xing Chen, Binghui Li, Kewei Liu, Zhen Cheng, Jialin Yang, Dezhen Shen, Xiaoqian Huang
article en

Abstract

Ferroelectric optoelectronic memories, capable of integrating sensing, computing, and storage functionalities, hold significant potential in the fields of artificial intelligence and the Internet of Things. In this study, a nonvolatile p-GaN/ZnGa<sub>2</sub>O<sub>4</sub>/BaTiO<sub>3</sub>/n-ITO ferroelectric optoelectronic memory is demonstrated. By combining with wide-bandgap semiconductors ZnGa<sub>2</sub>O<sub>4</sub> and GaN, known for their excellent optoelectronic properties, the device exhibits superior self-powered ultraviolet photodetection performance. At 0 V bias, the device achieves a peak responsivity of 7 mA/W with a fast response speed (rise time: 6 ms and fall time: 12 ms). Furthermore, by adjusting the polarization direction of the BaTiO<sub>3</sub> thin film, the optoelectronic performance of the device can be modulated to achieve memory functionality. The photocurrent of the device in the up-polarized state remains stable for over 5 months, indicating excellent long-term storage characteristics. Based on these properties, a 5 × 5 ferroelectric optoelectronic memory array capable of imaging, storing, and reading out has been demonstrated. Additionally, the device can function as "AND" and "OR" logic gates depending on its initial polarization state and input signals. The results provide an avenue for the application of ferroelectric optoelectronic memory in integrated sensing, memory, and computing systems.

ACS Applied Materials & InterfacesVol. 17(7)
Chinese Academy of Sciences (CN), Changchun Institute of Optics, Fine Mechanics and Physics (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Youth Innovation Promotion Association of the Chinese Academy of Sciences
Affordable and clean energy
Openalex Percentile: Top 98%
Advanced Memory and Neural Computing
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